# Copyright (C) 2004-2018 by
# Aric Hagberg<EMAIL_ADDRESS># Dan Schult<EMAIL_ADDRESS># Pieter Swart<EMAIL_ADDRESS># All rights reserved.
# BSD license.
#
# Authors: Aric Hagberg<EMAIL_ADDRESS># Pieter Swart<EMAIL_ADDRESS># Dan Schult<EMAIL_ADDRESS>"""Functional interface to graph methods and assorted utilities.
"""
from __future__ import division
from collections import Counter
from itertools import chain
try:
from itertools import zip_longest
except ImportError:
from itertools import izip_longest as zip_longest
import networkx as nx
from networkx.utils import pairwise, not_implemented_for
__all__ = ['nodes', 'edges', 'degree', 'degree_histogram', 'neighbors',
'number_of_nodes', 'number_of_edges', 'density',
'is_directed', 'info', 'freeze', 'is_frozen', 'subgraph',
'induced_subgraph', 'edge_subgraph', 'restricted_view',
'reverse_view', 'to_directed', 'to_undirected',
'add_star', 'add_path', 'add_cycle',
'create_empty_copy', 'set_node_attributes',
'get_node_attributes', 'set_edge_attributes',
'get_edge_attributes', 'all_neighbors', 'non_neighbors',
'non_edges', 'common_neighbors', 'is_weighted',
'is_negatively_weighted', 'is_empty',
'selfloop_edges', 'nodes_with_selfloops', 'number_of_selfloops',
]
[docs]def nodes(G):
"""Return an iterator over the graph nodes."""
return G.nodes()
[docs]def edges(G, nbunch=None):
"""Return an edge view of edges incident to nodes in nbunch.
Return all edges if nbunch is unspecified or nbunch=None.
For digraphs, edges=out_edges
"""
return G.edges(nbunch)
[docs]def degree(G, nbunch=None, weight=None):
"""Return a degree view of single node or of nbunch of nodes.
If nbunch is omitted, then return degrees of *all* nodes.
"""
return G.degree(nbunch, weight)
[docs]def neighbors(G, n):
"""Return a list of nodes connected to node n. """
return G.neighbors(n)
[docs]def number_of_nodes(G):
"""Return the number of nodes in the graph."""
return G.number_of_nodes()
[docs]def number_of_edges(G):
"""Return the number of edges in the graph. """
return G.number_of_edges()
[docs]def density(G):
r"""Return the density of a graph.
The density for undirected graphs is
.. math::
d = \frac{2m}{n(n-1)},
and for directed graphs is
.. math::
d = \frac{m}{n(n-1)},
where `n` is the number of nodes and `m` is the number of edges in `G`.
Notes
-----
The density is 0 for a graph without edges and 1 for a complete graph.
The density of multigraphs can be higher than 1.
Self loops are counted in the total number of edges so graphs with self
loops can have density higher than 1.
"""
n = number_of_nodes(G)
m = number_of_edges(G)
if m == 0 or n <= 1:
return 0
d = m / (n * (n - 1))
if not G.is_directed():
d *= 2
return d
[docs]def degree_histogram(G):
"""Return a list of the frequency of each degree value.
Parameters
----------
G : Networkx graph
A graph
Returns
-------
hist : list
A list of frequencies of degrees.
The degree values are the index in the list.
Notes
-----
Note: the bins are width one, hence len(list) can be large
(Order(number_of_edges))
"""
counts = Counter(d for n, d in G.degree())
return [counts.get(i, 0) for i in range(max(counts) + 1)]
[docs]def is_directed(G):
""" Return True if graph is directed."""
return G.is_directed()
def frozen(*args):
"""Dummy method for raising errors when trying to modify frozen graphs"""
raise nx.NetworkXError("Frozen graph can't be modified")
[docs]def freeze(G):
"""Modify graph to prevent further change by adding or removing
nodes or edges.
Node and edge data can still be modified.
Parameters
----------
G : graph
A NetworkX graph
Examples
--------
>>> G = nx.path_graph(4)
>>> G = nx.freeze(G)
>>> try:
... G.add_edge(4, 5)
... except nx.NetworkXError as e:
... print(str(e))
Frozen graph can't be modified
Notes
-----
To "unfreeze" a graph you must make a copy by creating a new graph object:
>>> graph = nx.path_graph(4)
>>> frozen_graph = nx.freeze(graph)
>>> unfrozen_graph = nx.Graph(frozen_graph)
>>> nx.is_frozen(unfrozen_graph)
False
See Also
--------
is_frozen
"""
G.add_node = frozen
G.add_nodes_from = frozen
G.remove_node = frozen
G.remove_nodes_from = frozen
G.add_edge = frozen
G.add_edges_from = frozen
G.add_weighted_edges_from = frozen
G.remove_edge = frozen
G.remove_edges_from = frozen
G.clear = frozen
G.frozen = True
return G
[docs]def is_frozen(G):
"""Return True if graph is frozen.
Parameters
----------
G : graph
A NetworkX graph
See Also
--------
freeze
"""
try:
return G.frozen
except AttributeError:
return False
[docs]def add_star(G_to_add_to, nodes_for_star, **attr):
"""Add a star to Graph G_to_add_to.
The first node in `nodes_for_star` is the middle of the star.
It is connected to all other nodes.
Parameters
----------
G_to_add_to : graph
A NetworkX graph
nodes_for_star : iterable container
A container of nodes.
attr : keyword arguments, optional (default= no attributes)
Attributes to add to every edge in star.
See Also
--------
add_path, add_cycle
Examples
--------
>>> G = nx.Graph()
>>> nx.add_star(G, [0, 1, 2, 3])
>>> nx.add_star(G, [10, 11, 12], weight=2)
"""
nlist = iter(nodes_for_star)
v = next(nlist)
edges = ((v, n) for n in nlist)
G_to_add_to.add_edges_from(edges, **attr)
[docs]def add_path(G_to_add_to, nodes_for_path, **attr):
"""Add a path to the Graph G_to_add_to.
Parameters
----------
G_to_add_to : graph
A NetworkX graph
nodes_for_path : iterable container
A container of nodes. A path will be constructed from
the nodes (in order) and added to the graph.
attr : keyword arguments, optional (default= no attributes)
Attributes to add to every edge in path.
See Also
--------
add_star, add_cycle
Examples
--------
>>> G = nx.Graph()
>>> nx.add_path(G, [0, 1, 2, 3])
>>> nx.add_path(G, [10, 11, 12], weight=7)
"""
nlist = iter(nodes_for_path)
try:
first_node = next(nlist)
except StopIteration:
return
G_to_add_to.add_node(first_node)
G_to_add_to.add_edges_from(pairwise(chain((first_node,), nlist)), **attr)
[docs]def add_cycle(G_to_add_to, nodes_for_cycle, **attr):
"""Add a cycle to the Graph G_to_add_to.
Parameters
----------
G_to_add_to : graph
A NetworkX graph
nodes_for_cycle: iterable container
A container of nodes. A cycle will be constructed from
the nodes (in order) and added to the graph.
attr : keyword arguments, optional (default= no attributes)
Attributes to add to every edge in cycle.
See Also
--------
add_path, add_star
Examples
--------
>>> G = nx.Graph() # or DiGraph, MultiGraph, MultiDiGraph, etc
>>> nx.add_cycle(G, [0, 1, 2, 3])
>>> nx.add_cycle(G, [10, 11, 12], weight=7)
"""
G_to_add_to.add_edges_from(pairwise(nodes_for_cycle, cyclic=True), **attr)
[docs]def subgraph(G, nbunch):
"""Return the subgraph induced on nodes in nbunch.
Parameters
----------
G : graph
A NetworkX graph
nbunch : list, iterable
A container of nodes that will be iterated through once (thus
it should be an iterator or be iterable). Each element of the
container should be a valid node type: any hashable type except
None. If nbunch is None, return all edges data in the graph.
Nodes in nbunch that are not in the graph will be (quietly)
ignored.
Notes
-----
subgraph(G) calls G.subgraph()
"""
return G.subgraph(nbunch)
[docs]def induced_subgraph(G, nbunch):
"""Return a SubGraph view of `G` showing only nodes in nbunch.
The induced subgraph of a graph on a set of nodes N is the
graph with nodes N and edges from G which have both ends in N.
Parameters
----------
G : NetworkX Graph
nbunch : node, container of nodes or None (for all nodes)
Returns
-------
subgraph : SubGraph View
A read-only view of the subgraph in `G` induced by the nodes.
Changes to the graph `G` will be reflected in the view.
Notes
-----
To create a mutable subgraph with its own copies of nodes
edges and attributes use `subgraph.copy()` or `Graph(subgraph)`
For an inplace reduction of a graph to a subgraph you can remove nodes:
`G.remove_nodes_from(n in G if n not in set(nbunch))`
If you are going to compute subgraphs of your subgraphs you could
end up with a chain of views that can be very slow once the chain
has about 15 views in it. If they are all induced subgraphs, you
can short-cut the chain by making them all subgraphs of the original
graph. The graph class method `G.subgraph` does this when `G` is
a subgraph. In contrast, this function allows you to choose to build
chains or not, as you wish. The returned subgraph is a view on `G`.
Examples
--------
>>> import networkx as nx
>>> G = nx.path_graph(4) # or DiGraph, MultiGraph, MultiDiGraph, etc
>>> H = G.subgraph([0, 1, 2])
>>> list(H.edges)
[(0, 1), (1, 2)]
"""
induced_nodes = nx.filters.show_nodes(G.nbunch_iter(nbunch))
return nx.graphviews.subgraph_view(G, induced_nodes)
[docs]def edge_subgraph(G, edges):
"""Returns a view of the subgraph induced by the specified edges.
The induced subgraph contains each edge in `edges` and each
node incident to any of those edges.
Parameters
----------
G : NetworkX Graph
edges : iterable
An iterable of edges. Edges not present in `G` are ignored.
Returns
-------
subgraph : SubGraph View
A read-only edge-induced subgraph of `G`.
Changes to `G` are reflected in the view.
Notes
-----
To create a mutable subgraph with its own copies of nodes
edges and attributes use `subgraph.copy()` or `Graph(subgraph)`
If you create a subgraph of a subgraph recursively you can end up
with a chain of subgraphs that becomes very slow with about 15
nested subgraph views. Luckily the edge_subgraph filter nests
nicely so you can use the original graph as G in this function
to avoid chains. We do not rule out chains programmatically so
that odd cases like an `edge_subgraph` of a `restricted_view`
can be created.
Examples
--------
>>> import networkx as nx
>>> G = nx.path_graph(5)
>>> H = G.edge_subgraph([(0, 1), (3, 4)])
>>> list(H.nodes)
[0, 1, 3, 4]
>>> list(H.edges)
[(0, 1), (3, 4)]
"""
nxf = nx.filters
edges = set(edges)
nodes = set()
for e in edges:
nodes.update(e[:2])
induced_nodes = nxf.show_nodes(nodes)
if G.is_multigraph():
if G.is_directed():
induced_edges = nxf.show_multidiedges(edges)
else:
induced_edges = nxf.show_multiedges(edges)
else:
if G.is_directed():
induced_edges = nxf.show_diedges(edges)
else:
induced_edges = nxf.show_edges(edges)
return nx.graphviews.subgraph_view(G, induced_nodes, induced_edges)
[docs]def restricted_view(G, nodes, edges):
"""Returns a view of `G` with hidden nodes and edges.
The resulting subgraph filters out node `nodes` and edges `edges`.
Filtered out nodes also filter out any of their edges.
Parameters
----------
G : NetworkX Graph
nodes : iterable
An iterable of nodes. Nodes not present in `G` are ignored.
edges : iterable
An iterable of edges. Edges not present in `G` are ignored.
Returns
-------
subgraph : SubGraph View
A read-only restricted view of `G` filtering out nodes and edges.
Changes to `G` are reflected in the view.
Notes
-----
To create a mutable subgraph with its own copies of nodes
edges and attributes use `subgraph.copy()` or `Graph(subgraph)`
If you create a subgraph of a subgraph recursively you may end up
with a chain of subgraph views. Such chains can get quite slow
for lengths near 15. To avoid long chains, try to make your subgraph
based on the original graph. We do not rule out chains programmatically
so that odd cases like an `edge_subgraph` of a `restricted_view`
can be created.
Examples
--------
>>> import networkx as nx
>>> G = nx.path_graph(5)
>>> H = nx.restricted_view(G, [0], [(1, 2), (3, 4)])
>>> list(H.nodes)
[1, 2, 3, 4]
>>> list(H.edges)
[(2, 3)]
"""
nxf = nx.filters
hide_nodes = nxf.hide_nodes(nodes)
if G.is_multigraph():
if G.is_directed():
hide_edges = nxf.hide_multidiedges(edges)
else:
hide_edges = nxf.hide_multiedges(edges)
else:
if G.is_directed():
hide_edges = nxf.hide_diedges(edges)
else:
hide_edges = nxf.hide_edges(edges)
return nx.graphviews.subgraph_view(G, hide_nodes, hide_edges)
[docs]@not_implemented_for('undirected')
def reverse_view(digraph):
"""Provide a reverse view of the digraph with edges reversed.
Identical to digraph.reverse(copy=False)
"""
return nx.graphviews.reverse_view(digraph)
[docs]def to_directed(graph):
"""Return a directed view of the graph `graph`.
Identical to graph.to_directed(as_view=True)
Note that graph.to_directed defaults to `as_view=False`
while this function always provides a view.
"""
return graph.to_directed()
[docs]def to_undirected(graph):
"""Return an undirected view of the graph `graph`.
Identical to graph.to_undirected(as_view=True)
Note that graph.to_undirected defaults to `as_view=False`
while this function always provides a view.
"""
return graph.to_undirected(as_view=True)
[docs]def create_empty_copy(G, with_data=True):
"""Return a copy of the graph G with all of the edges removed.
Parameters
----------
G : graph
A NetworkX graph
with_data : bool (default=True)
Propagate Graph and Nodes data to the new graph.
See Also
-----
empty_graph
"""
H = G.fresh_copy()
H.add_nodes_from(G.nodes(data=with_data))
if with_data:
H.graph.update(G.graph)
return H
[docs]def info(G, n=None):
"""Print short summary of information for the graph G or the node n.
Parameters
----------
G : Networkx graph
A graph
n : node (any hashable)
A node in the graph G
"""
info = '' # append this all to a string
if n is None:
info += "Name: %s\n" % G.name
type_name = [type(G).__name__]
info += "Type: %s\n" % ",".join(type_name)
info += "Number of nodes: %d\n" % G.number_of_nodes()
info += "Number of edges: %d\n" % G.number_of_edges()
nnodes = G.number_of_nodes()
if len(G) > 0:
if G.is_directed():
deg = sum(d for n, d in G.in_degree()) / float(nnodes)
info += "Average in degree: %8.4f\n" % deg
deg = sum(d for n, d in G.out_degree()) / float(nnodes)
info += "Average out degree: %8.4f" % deg
else:
s = sum(dict(G.degree()).values())
info += "Average degree: %8.4f" % (float(s) / float(nnodes))
else:
if n not in G:
raise nx.NetworkXError("node %s not in graph" % (n,))
info += "Node % s has the following properties:\n" % n
info += "Degree: %d\n" % G.degree(n)
info += "Neighbors: "
info += ' '.join(str(nbr) for nbr in G.neighbors(n))
return info
[docs]def set_node_attributes(G, values, name=None):
"""Sets node attributes from a given value or dictionary of values.
.. Warning:: The call order of arguments `values` and `name`
switched between v1.x & v2.x.
Parameters
----------
G : NetworkX Graph
values : scalar value, dict-like
What the node attribute should be set to. If `values` is
not a dictionary, then it is treated as a single attribute value
that is then applied to every node in `G`. This means that if
you provide a mutable object, like a list, updates to that object
will be reflected in the node attribute for every node.
The attribute name will be `name`.
If `values` is a dict or a dict of dict, it should be keyed
by node to either an attribute value or a dict of attribute key/value
pairs used to update the node's attributes.
name : string (optional, default=None)
Name of the node attribute to set if values is a scalar.
Examples
--------
After computing some property of the nodes of a graph, you may want
to assign a node attribute to store the value of that property for
each node::
>>> G = nx.path_graph(3)
>>> bb = nx.betweenness_centrality(G)
>>> isinstance(bb, dict)
True
>>> nx.set_node_attributes(G, bb, 'betweenness')
>>> G.nodes[1]['betweenness']
1.0
If you provide a list as the second argument, updates to the list
will be reflected in the node attribute for each node::
>>> G = nx.path_graph(3)
>>> labels = []
>>> nx.set_node_attributes(G, labels, 'labels')
>>> labels.append('foo')
>>> G.nodes[0]['labels']
['foo']
>>> G.nodes[1]['labels']
['foo']
>>> G.nodes[2]['labels']
['foo']
If you provide a dictionary of dictionaries as the second argument,
the outer dictionary is assumed to be keyed by node to an inner
dictionary of node attributes for that node::
>>> G = nx.path_graph(3)
>>> attrs = {0: {'attr1': 20, 'attr2': 'nothing'}, 1: {'attr2': 3}}
>>> nx.set_node_attributes(G, attrs)
>>> G.nodes[0]['attr1']
20
>>> G.nodes[0]['attr2']
'nothing'
>>> G.nodes[1]['attr2']
3
>>> G.nodes[2]
{}
"""
# Set node attributes based on type of `values`
if name is not None: # `values` must not be a dict of dict
try: # `values` is a dict
for n, v in values.items():
try:
G.nodes[n][name] = values[n]
except KeyError:
pass
except AttributeError: # `values` is a constant
for n in G:
G.nodes[n][name] = values
else: # `values` must be dict of dict
for n, d in values.items():
try:
G.nodes[n].update(d)
except KeyError:
pass
[docs]def get_node_attributes(G, name):
"""Get node attributes from graph
Parameters
----------
G : NetworkX Graph
name : string
Attribute name
Returns
-------
Dictionary of attributes keyed by node.
Examples
--------
>>> G = nx.Graph()
>>> G.add_nodes_from([1, 2, 3], color='red')
>>> color = nx.get_node_attributes(G, 'color')
>>> color[1]
'red'
"""
return {n: d[name] for n, d in G.nodes.items() if name in d}
[docs]def set_edge_attributes(G, values, name=None):
"""Sets edge attributes from a given value or dictionary of values.
.. Warning:: The call order of arguments `values` and `name`
switched between v1.x & v2.x.
Parameters
----------
G : NetworkX Graph
values : scalar value, dict-like
What the edge attribute should be set to. If `values` is
not a dictionary, then it is treated as a single attribute value
that is then applied to every edge in `G`. This means that if
you provide a mutable object, like a list, updates to that object
will be reflected in the edge attribute for each edge. The attribute
name will be `name`.
If `values` is a dict or a dict of dict, it should be keyed
by edge tuple to either an attribute value or a dict of attribute
key/value pairs used to update the edge's attributes.
For multigraphs, the edge tuples must be of the form ``(u, v, key)``,
where `u` and `v` are nodes and `key` is the edge key.
For non-multigraphs, the keys must be tuples of the form ``(u, v)``.
name : string (optional, default=None)
Name of the edge attribute to set if values is a scalar.
Examples
--------
After computing some property of the edges of a graph, you may want
to assign a edge attribute to store the value of that property for
each edge::
>>> G = nx.path_graph(3)
>>> bb = nx.edge_betweenness_centrality(G, normalized=False)
>>> nx.set_edge_attributes(G, bb, 'betweenness')
>>> G.edges[1, 2]['betweenness']
2.0
If you provide a list as the second argument, updates to the list
will be reflected in the edge attribute for each edge::
>>> labels = []
>>> nx.set_edge_attributes(G, labels, 'labels')
>>> labels.append('foo')
>>> G.edges[0, 1]['labels']
['foo']
>>> G.edges[1, 2]['labels']
['foo']
If you provide a dictionary of dictionaries as the second argument,
the entire dictionary will be used to update edge attributes::
>>> G = nx.path_graph(3)
>>> attrs = {(0, 1): {'attr1': 20, 'attr2': 'nothing'},
... (1, 2): {'attr2': 3}}
>>> nx.set_edge_attributes(G, attrs)
>>> G[0][1]['attr1']
20
>>> G[0][1]['attr2']
'nothing'
>>> G[1][2]['attr2']
3
"""
if name is not None:
# `values` does not contain attribute names
try:
# if `values` is a dict using `.items()` => {edge: value}
if G.is_multigraph():
for (u, v, key), value in values.items():
try:
G[u][v][key][name] = value
except KeyError:
pass
else:
for (u, v), value in values.items():
try:
G[u][v][name] = value
except KeyError:
pass
except AttributeError:
# treat `values` as a constant
for u, v, data in G.edges(data=True):
data[name] = values
else:
# `values` consists of doct-of-dict {edge: {attr: value}} shape
if G.is_multigraph():
for (u, v, key), d in values.items():
try:
G[u][v][key].update(d)
except KeyError:
pass
else:
for (u, v), d in values.items():
try:
G[u][v].update(d)
except KeyError:
pass
[docs]def get_edge_attributes(G, name):
"""Get edge attributes from graph
Parameters
----------
G : NetworkX Graph
name : string
Attribute name
Returns
-------
Dictionary of attributes keyed by edge. For (di)graphs, the keys are
2-tuples of the form: (u, v). For multi(di)graphs, the keys are 3-tuples of
the form: (u, v, key).
Examples
--------
>>> G = nx.Graph()
>>> nx.add_path(G, [1, 2, 3], color='red')
>>> color = nx.get_edge_attributes(G, 'color')
>>> color[(1, 2)]
'red'
"""
if G.is_multigraph():
edges = G.edges(keys=True, data=True)
else:
edges = G.edges(data=True)
return {x[:-1]: x[-1][name] for x in edges if name in x[-1]}
[docs]def all_neighbors(graph, node):
"""Returns all of the neighbors of a node in the graph.
If the graph is directed returns predecessors as well as successors.
Parameters
----------
graph : NetworkX graph
Graph to find neighbors.
node : node
The node whose neighbors will be returned.
Returns
-------
neighbors : iterator
Iterator of neighbors
"""
if graph.is_directed():
values = chain(graph.predecessors(node), graph.successors(node))
else:
values = graph.neighbors(node)
return values
[docs]def non_neighbors(graph, node):
"""Returns the non-neighbors of the node in the graph.
Parameters
----------
graph : NetworkX graph
Graph to find neighbors.
node : node
The node whose neighbors will be returned.
Returns
-------
non_neighbors : iterator
Iterator of nodes in the graph that are not neighbors of the node.
"""
nbors = set(neighbors(graph, node)) | {node}
return (nnode for nnode in graph if nnode not in nbors)
[docs]def non_edges(graph):
"""Returns the non-existent edges in the graph.
Parameters
----------
graph : NetworkX graph.
Graph to find non-existent edges.
Returns
-------
non_edges : iterator
Iterator of edges that are not in the graph.
"""
if graph.is_directed():
for u in graph:
for v in non_neighbors(graph, u):
yield (u, v)
else:
nodes = set(graph)
while nodes:
u = nodes.pop()
for v in nodes - set(graph[u]):
yield (u, v)
[docs]@not_implemented_for('directed')
def common_neighbors(G, u, v):
"""Return the common neighbors of two nodes in a graph.
Parameters
----------
G : graph
A NetworkX undirected graph.
u, v : nodes
Nodes in the graph.
Returns
-------
cnbors : iterator
Iterator of common neighbors of u and v in the graph.
Raises
------
NetworkXError
If u or v is not a node in the graph.
Examples
--------
>>> G = nx.complete_graph(5)
>>> sorted(nx.common_neighbors(G, 0, 1))
[2, 3, 4]
"""
if u not in G:
raise nx.NetworkXError('u is not in the graph.')
if v not in G:
raise nx.NetworkXError('v is not in the graph.')
# Return a generator explicitly instead of yielding so that the above
# checks are executed eagerly.
return (w for w in G[u] if w in G[v] and w not in (u, v))
[docs]def is_weighted(G, edge=None, weight='weight'):
"""Returns True if `G` has weighted edges.
Parameters
----------
G : graph
A NetworkX graph.
edge : tuple, optional
A 2-tuple specifying the only edge in `G` that will be tested. If
None, then every edge in `G` is tested.
weight: string, optional
The attribute name used to query for edge weights.
Returns
-------
bool
A boolean signifying if `G`, or the specified edge, is weighted.
Raises
------
NetworkXError
If the specified edge does not exist.
Examples
--------
>>> G = nx.path_graph(4)
>>> nx.is_weighted(G)
False
>>> nx.is_weighted(G, (2, 3))
False
>>> G = nx.DiGraph()
>>> G.add_edge(1, 2, weight=1)
>>> nx.is_weighted(G)
True
"""
if edge is not None:
data = G.get_edge_data(*edge)
if data is None:
msg = 'Edge {!r} does not exist.'.format(edge)
raise nx.NetworkXError(msg)
return weight in data
if is_empty(G):
# Special handling required since: all([]) == True
return False
return all(weight in data for u, v, data in G.edges(data=True))
[docs]def is_negatively_weighted(G, edge=None, weight='weight'):
"""Returns True if `G` has negatively weighted edges.
Parameters
----------
G : graph
A NetworkX graph.
edge : tuple, optional
A 2-tuple specifying the only edge in `G` that will be tested. If
None, then every edge in `G` is tested.
weight: string, optional
The attribute name used to query for edge weights.
Returns
-------
bool
A boolean signifying if `G`, or the specified edge, is negatively
weighted.
Raises
------
NetworkXError
If the specified edge does not exist.
Examples
--------
>>> G = nx.Graph()
>>> G.add_edges_from([(1, 3), (2, 4), (2, 6)])
>>> G.add_edge(1, 2, weight=4)
>>> nx.is_negatively_weighted(G, (1, 2))
False
>>> G[2][4]['weight'] = -2
>>> nx.is_negatively_weighted(G)
True
>>> G = nx.DiGraph()
>>> edges = [('0', '3', 3), ('0', '1', -5), ('1', '0', -2)]
>>> G.add_weighted_edges_from(edges)
>>> nx.is_negatively_weighted(G)
True
"""
if edge is not None:
data = G.get_edge_data(*edge)
if data is None:
msg = 'Edge {!r} does not exist.'.format(edge)
raise nx.NetworkXError(msg)
return weight in data and data[weight] < 0
return any(weight in data and data[weight] < 0
for u, v, data in G.edges(data=True))
[docs]def is_empty(G):
"""Returns True if `G` has no edges.
Parameters
----------
G : graph
A NetworkX graph.
Returns
-------
bool
True if `G` has no edges, and False otherwise.
Notes
-----
An empty graph can have nodes but not edges. The empty graph with zero
nodes is known as the null graph. This is an $O(n)$ operation where n
is the number of nodes in the graph.
"""
return not any(G.adj.values())
[docs]def nodes_with_selfloops(G):
"""Returns an iterator over nodes with self loops.
A node with a self loop has an edge with both ends adjacent
to that node.
Returns
-------
nodelist : iterator
A iterator over nodes with self loops.
See Also
--------
selfloop_edges, number_of_selfloops
Examples
--------
>>> G = nx.Graph() # or DiGraph, MultiGraph, MultiDiGraph, etc
>>> G.add_edge(1, 1)
>>> G.add_edge(1, 2)
>>> list(nx.nodes_with_selfloops(G))
[1]
"""
return (n for n, nbrs in G.adj.items() if n in nbrs)
[docs]def selfloop_edges(G, data=False, keys=False, default=None):
"""Returns an iterator over selfloop edges.
A selfloop edge has the same node at both ends.
Parameters
----------
data : string or bool, optional (default=False)
Return selfloop edges as two tuples (u, v) (data=False)
or three-tuples (u, v, datadict) (data=True)
or three-tuples (u, v, datavalue) (data='attrname')
keys : bool, optional (default=False)
If True, return edge keys with each edge.
default : value, optional (default=None)
Value used for edges that don't have the requested attribute.
Only relevant if data is not True or False.
Returns
-------
edgeiter : iterator over edge tuples
An iterator over all selfloop edges.
See Also
--------
nodes_with_selfloops, number_of_selfloops
Examples
--------
>>> G = nx.MultiGraph() # or Graph, DiGraph, MultiDiGraph, etc
>>> ekey = G.add_edge(1, 1)
>>> ekey = G.add_edge(1, 2)
>>> list(nx.selfloop_edges(G))
[(1, 1)]
>>> list(nx.selfloop_edges(G, data=True))
[(1, 1, {})]
>>> list(nx.selfloop_edges(G, keys=True))
[(1, 1, 0)]
>>> list(nx.selfloop_edges(G, keys=True, data=True))
[(1, 1, 0, {})]
"""
if data is True:
if G.is_multigraph():
if keys is True:
return ((n, n, k, d)
for n, nbrs in G.adj.items()
if n in nbrs for k, d in nbrs[n].items())
else:
return ((n, n, d)
for n, nbrs in G.adj.items()
if n in nbrs for d in nbrs[n].values())
else:
return ((n, n, nbrs[n]) for n, nbrs in G.adj.items() if n in nbrs)
elif data is not False:
if G.is_multigraph():
if keys is True:
return ((n, n, k, d.get(data, default))
for n, nbrs in G.adj.items()
if n in nbrs for k, d in nbrs[n].items())
else:
return ((n, n, d.get(data, default))
for n, nbrs in G.adj.items()
if n in nbrs for d in nbrs[n].values())
else:
return ((n, n, nbrs[n].get(data, default))
for n, nbrs in G.adj.items() if n in nbrs)
else:
if G.is_multigraph():
if keys is True:
return ((n, n, k)
for n, nbrs in G.adj.items()
if n in nbrs for k in nbrs[n])
else:
return ((n, n)
for n, nbrs in G.adj.items()
if n in nbrs for d in nbrs[n].values())
else:
return ((n, n) for n, nbrs in G.adj.items() if n in nbrs)
[docs]def number_of_selfloops(G):
"""Return the number of selfloop edges.
A selfloop edge has the same node at both ends.
Returns
-------
nloops : int
The number of selfloops.
See Also
--------
nodes_with_selfloops, selfloop_edges
Examples
--------
>>> G = nx.Graph() # or DiGraph, MultiGraph, MultiDiGraph, etc
>>> G.add_edge(1, 1)
>>> G.add_edge(1, 2)
>>> nx.number_of_selfloops(G)
1
"""
return sum(1 for _ in nx.selfloop_edges(G))


Form Elements |
This page corresponds to 7.2 Elements Used for Choosing Data and 7.3 Text Elements and includes sample HTML and styles for the following tags:
All of these tags need styles assigned to them, primarily in order to control their appearance when they are disabled. All of these elements have to be dynamically enabled and disabled. When they are disabled, not only do the tags need to have disabled="disabled" added as an attribute, but their style must also be changed to its disabled version (e.g., TxtFld => TxtFldDis for text fields). See the examples below for details
The form elements will almost always need to be used in conjunction with the label tag.
IE6 on Windows does not support disabling the individual <option>'s within a <select>. It simply ignores the specification to disable it. Same goes for NS6.2.2, although NS7 and recent Mozilla builds support disabling menu items.


Untitled 1
Sheryl Crow keeps coming to me in dreams asking why the hell I’m so sad,
and when I wake up my friends ask me the same question in more subtle ways
like, “why haven’t I seen you in awhile?”
Untitled 2
I’m gonna write a movie called Twitter
that has nothing to do with Twitter
except that there are 140 characters
and they are all desperately seeking validation.


MontanaCycling.Org
The Official Website For Competitive Cycling in Montana
Race Series Standings
Montana Super Prestige Cyclocross Series Standings
CROSS SERIES RANKINGS CALCULATIONS:
Riders are given one point for finishing each race plus one point for each person they beat in their catagory including DNFs. In addition, top five in each catagory are given the following bonus points- 8,5,3,2,1. State Championship race awards extra bonus points of 4,3,2,1 to top five in addition to other points. Top five scores for each rider are scored. Ties broken by head to head analysis.
Click Here For Montana Cup Road Racing Standings
Click Here To See Previous Years Standings
2001 Calendar |2001 Results | Club Contacts |
| training rides | Past Years Archive | Series Standings |
| Contact Us | Links |
| Home |


Can't disable 'Playing...' pop-up!?
-
gradient
I'm demoing Synergy 3.0 right now and really like the idea of it but am having a problem - I want to disable the pop up notifier that says "Playing [song name]'. I prefer the elegance of the simple track listing notification.
It seems, from going through the preferences, that this should be disabled by deselecting the 'Extra Visual Feedback' option. Am I not interpretting this correctly?
-
gradient
k so I solved this one myself, sorry. I had to disable Synergy's 'iTunes Update' notification in the Growl prefpane.
-
Greg Hurrell
Yes, that's right. There are two kinds of notifications: those provided from within Synergy itself (the Floater), and those routed via Growl. And it only makes sense to have one of these possibilities enabled at any given moment.
Reply
This topic is now closed.


Write a function called sum() that takes in two numbers as arguments and then returns the sum of those numbers
Write a function called multiply() that takes in two numbers as arguments and then returns the product of those numbers
Write a function called sumAndMultiply() that takes in THREE numbers as arguments and then returns two values in an array: the sum of those numbers and the product of those numbers
Write a function called sumArray() that takes in an array of numbers as a single argument and then returns the sum of those numbers
Write a function called multiplyArray() that takes in an array of numbers as a single argument and then returns the product of those numbers


Comments can be more useful if you use the syntax of Pdf-Reviewer. These are both optional, and can be combined with each other as well.
Labels
{{label1, label2}} will create an issue with two labels label1, and label2
Shortcut tags include
mf - Must Fix
sf - Should Fix
cf - Consider Fixing
g - Positive (This will not be included as an issue).
p - Positive (This will not be included as an issue).
Connecting to Issues
[[https://github.com/mpeterson2/Pdf-Reviewer/issues/4]] will connect issue #4 of mpeterson2'sPdf-Reviewer project.
Your Pdf will be updated with the issues included when you submit it. If you want to update your review, just download your review in the repository, edit the comments, and reupload it.
Any unchanged comments connected to an issue will not be recreated.
Any changed comments will append a comment to the connected issue.


org.md2k.streamprocessor.output
Classes
Activity
cStressFeatureVector
cStressRIPFeatureVector
ECGQuality
Output
PuffLabel
puffMarkerFeatureVector
PuffProbability
RIPQuality
SmokingEpisode
StressActivity
StressEpisode
StressEpisodeEnd
StressEpisodeFullEpisode
StressEpisodePeak
StressEpisodeStart
StressLabel
StressProbability
StressRIPLabel
StressRIPProbability


Temperature & Humidity
Device Location
Link Quality
Monitored Device
C478F
Monitored Station
Nordjylland


FileSystem Class
FileSystem
Item Index
Methods
- add
- base64toBlob
- clear
- createSubDirectory
- download
- downloadIncompleteFiles
- getFileInfoByUri
- getFileInfoByUuid
- getFileList
- getFileNameFromUri
- getListOfIncompleteFiles
- init
- readFileAsLocalUrl
- readFileAsObjectUrl
- readFileChunkAsArrayBuffer
- readFileChunkAsBlob
- readFileChunkAsDataUrl
- requestFileSystem
- requestQuota
- updateFileList
- write
Properties
Methods
add
-
files
Add file-entries to the storage database, not to the filesystem.
Parameters:
-
files
Array | String
Returns:
base64toBlob
-
base64
-
[contentType]
Converts a base64 String to a Blob
Parameters:
-
base64
String -
[contentType]
String optional
Returns:
clear
()
Promise
Will delete all files/folders inside the project-dir recursively as well as the references (fileInfo) in database
Returns:
createSubDirectory
-
dir
Create a directory in filesystem
Parameters:
-
dir
String
Returns:
download
-
file
Gets a file via XHR and returns a promise, resolve will contain a Blob
Parameters:
-
file
Object
Returns:
downloadIncompleteFiles
()
This will download all incomplete files from their urls. Should be used if you know, that there are no other peers in you pool, that can deliver the files you need.
Returns:
[Promise}
getFileInfoByUri
-
uri
Retrieve a fileInfo object from storage by url.
Parameters:
-
uri
Object
Returns:
can be multiple files
getFileInfoByUuid
-
uuid
Retrieve a filInfo object from storage (db) by uuid (hash).
Parameters:
-
uuid
Object
Returns:
getFileList
()
Promise
Get an array of all files from storage-database
Returns:
getFileNameFromUri
-
uri
Parse a fileName from an uri
Parameters:
-
uri
String
Returns:
getListOfIncompleteFiles
()
Promise
Get an array of incomplete files from storage-database
Returns:
init
-
db
Initialize fileStorage
Parameters:
-
db
ObjectInstance of database submodule
Returns:
readFileAsLocalUrl
-
fileInfo
Get a local url to a file in fileSystem
Parameters:
-
fileInfo
Object
Returns:
readFileAsObjectUrl
-
fileInfo
Get an ObjectUrl to a file from FileSystem
Parameters:
-
fileInfo
Object
Returns:
readFileChunkAsArrayBuffer
-
file
-
offset
-
completeFile
Read some chunks from the file and return an ArrayBuffer. Chunk size is defined globally by CHUNK_SIZE. Slicing can be disabled using completeFile param.
Parameters:
-
file
Object -
offset
Number -
completeFile
Boolean
Returns:
readFileChunkAsBlob
-
file
-
offset
-
completeFile
Read some chunks from the file, which will resul in a Blob-Instance. Chunk size is defined globally by CHUNK_SIZE. Slicing can be disabled using completeFile param.
Parameters:
-
file
Object -
offset
Number -
completeFile
Boolean
Returns:
readFileChunkAsDataUrl
-
file
-
offset
-
completeFile
Read some chunks from the file, which will be base64 encodded. Chunk size is defined globally by CHUNK_SIZE. Slicing can be disabled using completeFile param.
Parameters:
-
file
Object -
offset
Number -
completeFile
Boolean
Returns:
requestFileSystem
()
Promise
private
Request access to the local fileSystem, will cause a user prompt at first attempt
Returns:
requestQuota
()
Promise
private
Request a specific stoage-quota will cause a user prompt at first attempt
Returns:
updateFileList
()
Promise
private
Updates the list by getting the newest info from db
Returns:
write
-
fileInfo
-
blob
-
[pos]
Write a file/blob to the local filesystem
Parameters:
-
fileInfo
Object -
blob
Blob | Stringor base64-String
-
[pos]
Number optional
Returns:
Properties
CHUNK_SIZE
Number
final
list
Array
List of related files in db, will always be updated automatically


Part 1 - Activity
- Five sentences about the same topic
- Each question has one complete sentence, followed by a gapped sentence below
- You need to fill the gap with maximum 3 words so the two sentences should have the same meaning
Part 1 - Tips
- Read the complete sentence
- Read the second sentence and find what words was changed
- Think about which phrases you could use to complete it
- Complete the sentence with a maximum of 3 words
- Verify both sentences have the same meaning
Part 1 - Assessment
- If you use more than 3 words you will lose the mark
- Spelling is important
- The question could have one or more possibly answers
Part 1 - Assessment
- Evaluation based on the Language Specifications(Page 66 of Cambridge English Preliminary Booklet)
- Studying past exams is a good approach for identifying areas that are typically tested. Ex: prepositions, collocations, passive/active voice, direct and indirect speech, verb patterns and opposites.


Order your pizza at anytime you feel like and enjoy the outcome
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Enjoy your pizza with your family.


Col Muster provides quick and easy check in, tracking and analytics during muster situations
Find Out MoreGet rid of the clipboard. Manage your muster needs using real time geolocation, interactive AI chat, and BIG DATA!!

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Lorem Ipsum Blah blah.
Heart disease!


India 'makes advance payment' for Russian S-400 missile system
India has paid $800m over a year after it signed a $5bn deal to buy the missile systems, Russian firm Rostec says.
India has made an advance payment of $800m for Russia's S-400 anti-aircraft missile systems, the head of Russian conglomerate Rostec, Sergey Chemezov, said.
Chemezov told reporters on Monday that negotiations were under way and a contract with India will be completed in 2025.
The development comes amid threats of US sanctions, but New Delhi has pinned its hopes on a waiver from Washington.
More:
India signed a $5bn deal to buy the long-range surface-to-air missile systems in October 2018 during a visit to New Delhi by Russian President Vladimir Putin.
At the BRICS summit in Brazil on Thursday, Putin said the S-400 deliveries to India were going "according to plan".
"This was very much on the cards. The United States has more or less signalled that it's ok with this project and it is not likely to invoke sanctions against India as a result of this," Ajai Shukla, an Indian defence analyst, told Al Jazeera.
Moscow has long been the main supplier of military equipment to India - accounting for 62 percent of its total weapons imports during the last five years, according to the Stockholm Peace Research Institute.
However, in recent years, New Delhi has inched closer to the US and Israel for weapons supply.
The US has warned that India could face sanctions if it goes ahead with the S-400 deal, it has issued similar threats to Turkey over a planned purchase of the missile defence system.
Under a US law, known as the Countering America's Adversaries Through Sanctions Act (CAATSA), the purchase of defence equipment from Russia can be subject to sanctions. However, the president can opt to issue a waiver.
Shukla, the Indian analyst, said that despite concerns, the move is unlikely to negatively affect India's relations with the US, as it has Turkey's.
"India has been buying arms from Russia for decades. It has only recently switched over to buying arms from America.
"America is quite happy that it is selling a large number of arms to India and it realises that it cannot stop India from having a defence relationship with Russia because that is a historical pact," he said.
"The India-Russia relationship is a very old and tested relationship."
India's relations with the US have also been hit by trade frictions, with New Delhi imposing higher import tariffs on some US goods in retaliation for the US's refusal to exempt India from steel tariffs.
Additional reporting by Bilal Kuchay from New Delhi


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Don't Be Like This guy
"This is fantastic! Thanks so much guys!"
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Convert g_c (\(\mu\)mol CO2/m^2/s/Pa) to g_w (\(\mu\)mol H2O /m^2/s/Pa)
Convert g_c (umol CO2/m^2/s/Pa) to g_w (umol H2O /m^2/s/Pa)
gw2gc(g_w, D_c, D_w, unitless) gc2gw(g_c, D_c, D_w, unitless)
| g_w | conductance to water vapor in units
(\(\mu\)mol H2O / (m^2 s Pa)) of class |
|---|---|
| D_c | diffusion coefficient for CO2 in air in units of m^2/s of call
|
| D_w | diffusion coefficient for H2O in air in units of m^2/s of call
|
| unitless | Logical. Should |
| g_c | conductance to CO2 in units (\(\mu\)mol H2O / (m^2 s Pa)) of
class |
Value with units \(\mu\)mol / (m^2 s Pa) of class units
.
Diffusive conductance to CO2 is generally about ~1.6x that of H2O because of the higher molecular weight. To convert, multiply conductance by the ratio of diffusion coefficients:
$$g_\mathrm{c} = g_\mathrm{w} D_\mathrm{c} / D_\mathrm{w}$$ $$g_\mathrm{w} = g_\mathrm{c} D_\mathrm{w} / D_\mathrm{c}$$
This function will soon be moving to the standalone gunit package.
D_c <- set_units(1.29e-05, "m^2/s") D_w <- set_units(2.12e-05, "m^2/s") g_c <- set_units(3, "umol/m^2/s/Pa") g_w <- gc2gw(g_c, D_c, D_w, unitless = FALSE) g_w#> 4.930233 [umol/m^2/Pa/s]gw2gc(g_w, D_c, D_w, unitles = FALSE)#> 3 [umol/m^2/Pa/s]


RandomSearch
¶
A simple dummy algorithm useful for testing the worst case scenario in algorithms with initial populations
-
class
feature_selection.random_search.
RandomSearch
(classifier=None, number_gen=5, size_pop=40, verbose=0, repeat=1, predict_with='best', make_logbook=False, random_state=None)¶ Implementation of a Random Search Algorithm for Feature Selection. It is useful as the worst case
Parameters: number_gen : positive integer, (default=5)
Number of generations
size_pop : positive integer, (default=40)
Size of random samples in each iteration
verbose : int, (default=0)
Print information in every generation% verbose == 0
repeat : positive int, (default=1)
Number of times to repeat the fitting process
predict_with : one of { ‘all’ , ‘best’ }, (default=’best’)
‘all’ - will predict the X with all masks and return the mean
‘best’ - will predict the X using the mask with the best fitness
obs: If you are going to make grid search in hyperparameters, use ‘all’
make_logbook: boolean, (default=False)
If True, a logbook from DEAP will be made
Methods
fit
([X, y, normalize])Fit method fit_transform
(X, y[, normalize])Fit to data, then transform it. get_params
([deep])Get parameters for this estimator. get_support
([indices])Get a mask, or integer index, of the features selected Parameters ———- indices : boolean (default False) If True, the return value will be an array of integers, rather than a boolean mask. plot_results
()This method plots all the statistics for each repetition in a graph. predict
(X)safe_mask
(x, mask)Return a mask which is safe to use on X. score
(X, y[, sample_weight])Returns the mean accuracy on the given test data and labels. score_func_to_grid_search
(estimator, X_test, ...)Function to be given as a scorer function to Grid Search Method. set_params
(**params)Set the parameters of this estimator. transform
(X[, mask])Reduce X to the selected features. -
fit
(X=None, y=None, normalize=False, **arg)¶ Fit method
Parameters: X : array of shape [n_samples, n_features]
The input samples
y : array of shape [n_samples, 1]
The input of labels
normalize : boolean, (default=False)
If true, StandardScaler will be applied to X
**arg : parameters
Set parameters
-
fit_transform
(X, y, normalize=False, **fit_params)¶ Fit to data, then transform it.
Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.
Parameters: X : numpy array of shape [n_samples, n_features]
Training set.
y : numpy array of shape [n_samples]
Target values.
Returns: X_new : numpy array of shape [n_samples, n_features_new]
Transformed array.
-
get_params
(deep=True)¶ Get parameters for this estimator.
Parameters: deep : boolean, optional
If True, will return the parameters for this estimator and contained subobjects that are estimators.
Returns: params : mapping of string to any
Parameter names mapped to their values.
-
get_support
(indices=False)¶ Get a mask, or integer index, of the features selected Parameters ———- indices : boolean (default False)
If True, the return value will be an array of integers, rather than a boolean mask.- support : array
- An index that selects the retained features from a feature vector. If indices is False, this is a boolean array of shape [# input features], in which an element is True iff its corresponding feature is selected for retention. If indices is True, this is an integer array of shape [# output features] whose values are indices into the input feature vector.
-
plot_results
()¶ This method plots all the statistics for each repetition in a graph.
The curves are minimun, average and maximun accuracyParameters: travis : boolean
If this is a travis build test, set it True
-
safe_mask
(x, mask)¶ Return a mask which is safe to use on X. Parameters ———- X : {array-like, sparse matrix}
Data on which to apply mask.- mask : array
- Mask to be used on X.
mask
-
score
(X, y, sample_weight=None)¶ Returns the mean accuracy on the given test data and labels.
In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted.
Parameters: X : array-like, shape = (n_samples, n_features)
Test samples.
y : array-like, shape = (n_samples) or (n_samples, n_outputs)
True labels for X.
sample_weight : array-like, shape = [n_samples], optional
Sample weights.
Returns: score : float
Mean accuracy of self.predict(X) wrt. y.
-
score_func_to_grid_search
(estimator, X_test, y_test)¶ Function to be given as a scorer function to Grid Search Method. It is going to transform the matrix os predicts generated by ‘all’ option to an final accuracy score.
-
set_params
(**params)¶ Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form
<component>__<parameter>
so that it’s possible to update each component of a nested object.Returns: self
-
transform
(X, mask=None)¶ Reduce X to the selected features. Parameters ———- X : array of shape [n_samples, n_features]
The input samples.- X_r : array of shape [n_samples, n_selected_features]
- The input samples with only the selected features.
-


Rebecca Noll
Aspiring Full Stack Developer
Currently
I’m a student at SoftStack Factory, due to finish around January 2017. During my career experience and education, I’ve taken up an interest in mobile technologies, information systems, and creative problem solving.
Education
2012-14
University of West Florida Master of Science degree in Administration, Acquisition and Contract Administration
2006-09
Missouri University of Science and Technology Bachelor of Science degree in Architectural Engineering
Technical skills
- HTML and CSS
- Javascript
Projects
Superhero Challenge
Change Calculator
TKTest - an ionic application, which allows users to take a 30 question test, see charted results, and stores past exams.
CV
I created a this web page to show off my CV.
Achievements
Graduated with honors and high achievement grade point average
Experience
2015
Foresight Real Estate Services
Worked as an intern, shadowing the principal of a commercial real estate development firm
Volunteer Work
2016
Habitat for Humanity
2016-
Big Brothers Big Sisters
Hobbies
- Hiking
- Travel
- Volleyball


FieldSchema
- name : string
The API name of the field.
- label : string
The displayable label for the field.
- type : string
The DSP abstract data type for this field.
- db_type : string
The native database type used for this field.
- length : integer
The maximum length allowed (in characters for string, displayed for numbers).
- precision : integer
Total number of places for numbers.
- scale : integer
Number of decimal places allowed for numbers.
- default : string
Default value for this field.
- required : boolean
Is a value required for record creation.
- allow_null : boolean
Is null allowed as a value.
- fixed_length : boolean
Is the length fixed (not variable).
- supports_multibyte : boolean
Does the data type support multibyte characters.
- auto_increment : boolean
Does the integer field value increment upon new record creation.
- is_primary_key : boolean
Is this field used as/part of the primary key.
- is_foreign_key : boolean
Is this field used as a foreign key.
- ref_table : string
For foreign keys, the referenced table name.
- ref_fields : string
For foreign keys, the referenced table field name.
- validation : List[string]
validations to be performed on this field.
- values : List[string]
Selectable string values for picklist validation.


Nottingham Forest building bridges as Reds defender dares to dream
Sabri Lamouchi's Reds will return to action this weekend with a game at Bristol City following the international break
by Sarah ClapsonTAYLOR-MADE
A fresh insight into Nottingham Forest’s stadium plans has got Joe Worrall dreaming of wearing the Garibaldi in front of a packed City Ground in the Premier League.
The Reds last week released new images of their planned stadium redevelopment, with a planning application expected to be submitted before the end of the year and work due to get underway in 2020.
And as well as the excitement off the pitch, there is plenty to be optimistic about on the field as Sabri Lamouchi’s men look to mount a promotion push this season.
Boyhood Reds fan Worrall says the City Ground project - with phase one rebuilding the Peter Taylor Stand to cater for 10,000 fans - is the perfect incentive as the team aim to maintain their top six spot.
PITCH PERFECT?
Nottingham Forest’s City Ground redevelopment project “is very much a stadium-wide exercise”.
And that could also include looking at how to improve the drainage from the pitch.
A planning application is expected to be submitted before the end of the year, with work to transform the club’s home into a world-class venue hoped to get underway in 2020.
And asked if modifications to the playing surface could be part of the redevelopment plans, Tom Cartledge, lead architect and CEO of Benoy - the architectural firm behind the project - said: “The stadium in its entirety is part of the bigger conversation.
NO WAY JOSE
Former Nottingham Forest striker Stan Collymore has questioned Tottenham's appointment of Jose Mourinho.
Mourinho is the new manager of Tottenham following the sacking of Mauricio Pochettino.
The former Chelsea and Manchester United boss has signed a three-and-a-half year contract with the London club.
The appointment comes less than 12 hours after Spurs parted company with Pochettino on Tuesday evening.
BUILDING BRIDGES
Nottingham Forest’s relationship with Notts County is one which continues to flourish, according to the Magpies new owners.
The two city neighbours have rebuilt their relationship following County’s takeover in the summer, and even struck a deal for the Magpies to use their Trent Pool training facility which the National League outfit hope will be extended beyond the end of the current season.
“We are really happy with our relationship,” said Christoffer Reedtz.
“Nicholas Randall has been really welcoming.
“We are really pleased with the relationship we are building.”
Nottingham Forest latest
This is your round up of all things Forest; the one-stop shop that will keep you updated on the latest goings on at the City Ground and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Reds throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Reds skipper Dawson on the battle ahead
- New Notts owners on Forest relationship
- Lamouchi's message over stadium plans
- Worrall picks his Reds team of the decade
For all your latest NFFC news, opinion, analysis and transfer gossip, click here
You can follow our Reds reporter Sarah Clapson on Twitter, and her email address is<EMAIL_ADDRESS>Sign up for our free Forest WhatsApp service for latest news
Keep up to date with the latest Nottingham Forest news, features and exclusives from Nottinghamshire Live via our free WhatsApp service.
Text NEWS to<PHONE_NUMBER>2 and then add the number to your phone contacts book as ForestLive to receive daily updates and breaking news from our Reds reporter Sarah Clapson.
Your phone number won't be shared with any other members of the group. Click here for more information on the service.


The Artist Influence
See how your favorite band was influenced by the seed. Type the name of your favorite artist from One Direction to Lana Del Rey to see how they are connected to this influential artist.
See how your favorite band was influenced by the seed. Type the name of your favorite artist from One Direction to Lana Del Rey to see how they are connected to this influential artist.


BTC
0.00000000
CNN
0.00000000
ETH
0.00000000
USD
0.00000000
Today Earn
0 USD
Total Earn
0 USD
Total Lending
0 USD
Balance Systems
| Date | Percent |
| 2017-11-25 | 1.5% |
| 2017-11-24 | 1.5% |
| 2017-11-23 | 1.5% |
History Lending
| Date | Package Lending | Amount |


Flash has a lot of powerful input handling capabilities, but they tend to be too much for a game. The InputManager and InputMap classes work together to provide a few focused capabilities to make it simple to implement controls for your game.
Note that for general UI building tasks, you will want to use the normal Flash events.
InputManager and InputMap
The InputManager is a clearing house for input events. Mostly, InputMap instance subscribe to it, although your code can do that as well. It also tracks if keys are down, so you can write code like:
if(InputManager.isKeyDown(InputKey.UP))
moveItemUp();
However, this idiom generally results in brittle, complicated input handling code. A much better option is to use an InputMap, which lets you expose named input events you want to bind, and configure what keys should trigger them. That way if you want to allow users to reconfigure what keys they use, you can do so without having to modify your code.
InputMap also lets you handle input in a uniform way. You simply provide it with input names, and callback functions that take a single numerical parameter. Digital inputs (buttons) will be called back with 0 or 1 based on if the button is up or down. Analog inputs (mouse) will be called back with the change in position of the input. In most cases this means you can write code that handles buttons or mouse input identically.
In addition, the InputManager gives you an opportunity to handle more exotic input sources in a consistent manner. You might extend it to use a 3rd party utility to handle joystick or Wiimote input events - these would simply be exposed as other input options that can be selected when configuring the InputMap.
The following is source code for a simple component that handles input using an InputMap:
public class MyInputHandlingComponent extends TickedComponent
{
public function get input():InputMap
{
return _inputMap;
}
public function set input(value:InputMap):void
{
_inputMap = value;
if (_inputMap != null)
{
_inputMap.addBinding("GoLeft", _onLeft);
_inputMap.addBinding("GoRight", onRight);
}
}
public override function onTick(tickRate:Number):void
{
// Normally you would update your position based on this; for simplicity
// we just print the direction we are being indicated to move.
var direction:Number = right - left;
Logger.print(this, "I am moving " + direction);
}
private function onLeft(value:Number):void
{
left = value;
}
private function onRight(value:Number):void
{
right = value;
}
private var _inputMap:InputMap;
private var _left:Number = 0;
private var _right:Number = 0;
}
And here is the level XML to set it up as part of an entity. Notice that you specify the inputs as part of the level, making it easy to support multiple players on the same keyboard or other customizations of input.
<entity name="InputHandlingEntity">
<component class="MyInputHandlingComponent" name="Input"/>
<Input>
<!-- These correspond to the calls to AddBinding above. -->
<GoLeft>LEFT</GoLeft>
<GoRight>RIGHT</GoRight>
</Input>
</component>
</entity>
Notice that you could also bind to mouse movement by doing the following:
<entity name="MouseInputHandlingEntity">
<component class="MyInputHandlingComponent" name="Input"/>
<Input>
<!-- These correspond to the calls to AddBinding above. Only GoLeft needs to be bound because MOUSE_X gives negative as well as positive results. -->
<GoLeft>MOUSE_X</GoLeft>
</Input>
</component>
</entity>
That's all there is to know about InputMap and InputManager! The rest of this chapter is a reference to the supported key names for InputMap.
InputMap Key Names
This section lists all the keys that can be used with the InputMap class. The label for each key is used both as the name of the constant in the InputKey class and the name to use when defining an InputMap in XML. Additionally, some keys may have one or more aliases listed in parentheses. For the most part these exist to provide compatibility with the names that Flash uses in the flash.ui.Keyboard class. All names are case-insensitive.
Navigation Keys
- PAGE_UP
The page up key.
- PAGE_DOWN
The page down key.
- END
The end key.
- HOME
The home key.
- LEFT (LEFT_ARROW)
The left arrow key.
- RIGHT (RIGHT_ARROW)
The right arrow key.
- UP (UP_ARROW)
The up arrow key.
- DOWN (DOWN_ARROW)
The down arrow key.
Number Keys
- ZERO (0, NUMBER_0)
The '0' key at the top of the keyboard (not the number pad).
- ONE (1, NUMBER_1)
The '1' key at the top of the keyboard (not the number pad).
- TWO (2, NUMBER_2)
The '2' key at the top of the keyboard (not the number pad).
- THREE (3, NUMBER_3)
The '3' key at the top of the keyboard (not the number pad).
- FOUR (4, NUMBER_4)
The '4' key at the top of the keyboard (not the number pad).
- FIVE (5, NUMBER_5)
The '5' key at the top of the keyboard (not the number pad).
- SIX (6, NUMBER_6)
The '6' key at the top of the keyboard (not the number pad).
- SEVEN (7, NUMBER_7)
The '7' key at the top of the keyboard (not the number pad).
- EIGHT (8, NUMBER_8)
The '8' key at the top of the keyboard (not the number pad).
- NINE (9, NUMBER_9)
The '9' key at the top of the keyboard (not the number pad).
Letter Keys
- A
The A key.
- B
The B key.
- C
The C key.
- D
The D key.
- E
The E key.
- F
The F key.
- G
The G key.
- H
The H key.
- I
The I key.
- J
The J key.
- K
The K key.
- L
The L key.
- M
The M key.
- N
The N key.
- O
The O key.
- P
The P key.
- Q
The Q key.
- R
The R key.
- S
The S key.
- T
The T key.
- U
The U key.
- V
The V key.
- W
The W key.
- X
The X key.
- Y
The Y key.
- Z
The Z key.
Number Pad Keys
- NUM0 (NUMPAD_0)
Zero on the number pad.
- NUM1 (NUMPAD_1)
One on the number pad.
- NUM2 (NUMPAD_2)
Two on the number pad.
- NUM3 (NUMPAD_3)
Three on the number pad.
- NUM4 (NUMPAD_4)
Four on the number pad.
- NUM5 (NUMPAD_5)
Five on the number pad.
- NUM6 (NUMPAD_6)
Six on the number pad.
- NUM7 (NUMPAD_7)
Seven on the number pad.
- NUM8 (NUMPAD_8)
Eight on the number pad.
- NUM9 (NUMPAD_9)
Nine on the number pad.
- MULTIPLY (ASTERISK, NUMMULTIPLY, NUMPAD_MULTIPLY)
The asterisk key on the number pad (*).
- ADD (NUMADD, NUMPAD_ADD)
The add key on the number pad (+).
- SUBTRACT (NUMSUBTRACT, NUMPAD_SUBTRACT)
The subtract key on the number pad (-).
- DECIMAL (NUMDECIMAL, NUMPERIOD, NUMPAD_DECIMAL, NUMPAD_PERIOD)
The decimal key on the number pad (.).
- DIVIDE (NUMDIVIDE, NUMPAD_DIVIDE)
The divide key on the number pad (/).
- NUMENTER (NUMPAD_ENTER)
The enter key on the number pad.
Function Keys
- F1
The first function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F2
The second function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F3
The third function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F4
The fourth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F5
The fifth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F6
The sixth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F7
The seventh function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F8
The eighth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F9
The ninth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F11
The eleventh function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F12
The twelfth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F13
The thirteenth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F14
The fourteenth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
- F15
The fifteenth function key. Some keyboards map the function keys to special commands, and thus can't be relied upon.
Punctuation Keys
- PLUS (EQUAL)
The equals key (=). This is not the add key on the number pad.
- MINUS (UNDERSCORE)
The minus key (-). This is not the subtract key on the number pad.
- COLON (SEMICOLON)
The semi-colon key (;).
- COMMA (LESS_THAN)
The comma key (,).
- PERIOD (GREATER_THAN)
The period key (.). This is not the decimal on the number pad.
- BACKSLASH (QUESTION_MARK)
The backslash key (/). This is not the divid key on the number pad.
- SLASH (FORWARD_SLASH, PIPE)
The forward slash key (\).
- TILDE (BACKQUOTE)
The tilde key (~).
- LEFT_BRACKET (LEFT_BRACE)
The left bracket key ([).
- RIGHT_BRACKET (RIGHT_BRACE)
The right bracket key (]).
- QUOTE
The quote key (').
Other Keys
- BACKSPACE
The backspace key. Labeled 'delete' on Apple keyboards.
- TAB
The tab key.
- SPACE (SPACE_BAR)
The space bar key.
- ENTER (RETURN)
The enter key. Labeled 'return' on Apple keyboards. This is not the enter key on the number pad.
- SHIFT
Either the left or right shift key.
- CONTROL
Either the left or right control key.
- COMMAND
The command key. Only available on OSX.
- ALT (OPTION, ALTERNATE)
The alt key. Labeled 'option' on Apple keyboards.
- PAUSE
The pause key. Sometimes this is labeled 'break'.
- ESCAPE
The escape key.
- INSERT
The insert key.
- DELETE
The delete key. This is the forward delete key on Apple keyboards.
- CAPS_LOCK
The caps lock key.
- NUM_LOCK
The num lock key.
- SCROLL_LOCK
The scroll lock key.
Mouse
- MOUSE_BUTTON
The left mouse button.
- MOUSE_X
Horizontal mouse movement.
- MOUSE_Y
Vertical mouse movement.


Feminists for Life Announcement
&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;
&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;&;
Dear Dry ,
I am so pleased to announce FFL’s BRAND NEW WEBSITE–just in time for the new school
year.
Visitors to our website have come to depend on FFL for our unique contributions
to the movement, and will now find it even easier to find needed resources–most
importantly:
* Pro-life feminist history first revealed by Feminists for Life historians
* Pioneering work on college campuses to advocate for resources and support
for pregnant and parenting students, to share pro-life feminist history, and
to provide meaningful support for student activists
* A library of resources and support for:
* pregnant women
* expectant fathers
* parents
* birthparents
* campus solutions
* workplace solutions
* Trailblazing work advocating for the protection of, and services for, women
who are victims and survivors of violence
* Pro-Woman Answers to Pro-Life QuestionsTM
Check out FFL’s Facebook [http://r20.rs6.net/tn.jsp?e=001CXEMK2UhGe0_Y-QOKbsMaqriZIgh6mHZIsFtEaHOaao0gZ_Dz6GoEvKrCxSLRNJpbF3gbsv36CMGGz2QGlbap_tayYJ9l0dSpP88buY9L34lEXfG9yO82iuVG9n_2Kg5MY2l8neZb9w=]
page and Twitter feed [http://r20.rs6.net/tn.jsp?e=001CXEMK2UhGe3dl10j7XklyDPbjoWpHGJsRQ-4ZeY0EILv9X_-jxhYDU4hoKddHWiYZp


New images released as work starts to reopen landmark canal-side distillery
by Scott ReidBuilding work has officially begun to create a new distillery on the banks of the Forth and Clyde canal.
The multi-million-pound restoration of the Rosebank distillery, which is being carried out by ISG, is expected to be completed in summer 2021.
Situated between Edinburgh and Glasgow, Rosebank has been dormant for 25 years. It ceased production when former owner UDV – now Diageo – mothballed the site and its maltings were converted into a restaurant.
In January, new owner Ian Macleod Distillers was granted permission to revive the distillery and has since been putting plans in place to breathe new life into the grounds.
Mike Younger, finance director of Ian Macleod Distillers, said: “This ground-break is a milestone – it marks the start of a new and exciting chapter for both Rosebank and Ian Macleod Distillers.
“Our vision was to bring this quintessential Lowland single malt back to life and ensure it could live on for generations to come. A dream that is now very much underway.”
The iconic 108-foot chimney stack, which has become an instantly recognisable landmark in Falkirk, will remain right in the middle, connecting Rosebank’s past with its future, the distiller added.


"""
module with class definition and methods for reading and writing .grp files
Created on Jun 20, 2012
@author: David Wadden
"""
import os
import re
[docs]class GRP:
"""
class to read .grp files and return a list
"""
def __init__(self, src):
# if it"s a file string, check that it exists and read the file
if type(src) is str:
assert os.path.exists(src), "{0} is not a valid file path. Use a list to input plate names directly".format(src)
self.read(src)
# if it's a list, just read it in
elif type(src) is list:
self.grp = src
[docs] def read(self, in_path):
"""
read a .grp file
"""
with open(in_path, "r") as f:
lines = f.readlines()
# need the second conditional to ignore comment lines
self.grp = [line.strip() for line in lines if line and not re.match("^#", line)]
[docs] def write(self, out):
"""
write a .grp file
"""
with open(out, "w") as f:
for x in self.grp:
f.write(str(x) + "\n")
[docs]def write_grp(in_list, out):
"""
standalone methods to write .grp files
"""
with open(out, "w") as f:
for x in in_list:
f.write(str(x) + "\n")
[docs]def read_grp(in_path):
"""
standalone method to read .grp files
"""
assert os.path.exists(in_path), "The following file can't be found. in_path: {}".format(in_path)
with open(in_path, "r") as f:
lines = f.readlines()
# again, second conditional ignores comment lines
return [line.strip() for line in lines if line and not re.match("^#", line)]


Supreme Court Injustice
What's the problem? (A-Side)
Amy Coney Barret has been nominated to the Supreme Court.
57% Americans believe the nomination should be left to the election winner.
Amy Coney Barret may be deciding if the Affordable Care Act can still exist.
The 133 million Americans with pre-existing conditions could pay more or lose insurance altogether.
10.7 million could lose their marketplace coverage.
12.2 million could be kicked off Medicaid.
Check our sources + resources:
Find the links
at PullDemocracy.vote/leaflets/coney-barrett-nomination or
scan our QRCode:
Supreme Court Injustice
What's the problem? (B-Side)
Amy Coney Barrett believes employers can block employees from birth control access.
92% of US: birth control is morally acceptable.
Refuses to recuse from 2020 election cases.
What can we do?
Call
your senators today
Ask your friends to call their senators especially if they have a Republican senator.
Share this leaflet online or print it (website below).
Check our sources
Find the links
at PullDemocracy.vote/leaflets/coney-barrett-nomination or
scan our QRCode:


DRIVE ME CRAZY (M). (Twentieth Century Fox) Director: John Schultz Stars: Melissa Joan Hart, Adrian Grenier, William Converse-Roberts, Stephen Collins Running time: 91 minutes.
Occasionally an adolescent romantic comedy will unexpectedly break out of the mould and cleverly subvert the formula (Clueless, Election, etc). Drive Me Crazy, on the other hand, steers an unadventurous course through a succession of clichés that will be immediately obvious to audiences who sat through last year's procession of bland, formulaic teen comedies. Drive Me Crazy shares numerous thematic and plot similarities with films such as She's All That, 10 Things I Hate About You and even Never Been Kissed.
 Drive Me Crazy offers up yet another exploration of the hierarchy of high school, from the jocks to the geeks, the elite in-crowd to the outcasts who desperately want to be accepted, from the cool to the uncool. There is also plenty of jealous plotting and subterfuge that inevitably comes to a head during the climactic school dance. This clueless comedy has been written by Rob Thomas, one of the writers on popular teen soap Dawson's Creek, but it is rather superficial stuff that lacks any real insight or freshness.
Nicole (played with some charm but a lack of real charisma by Melissa Joan Hart, better known as TV's teenage witch Sabrina) and Chase (Adrian Grenier) have lived next door to each other all their lives, but their childhood friendship has cooled. When Nicole tries to make Brad, the hunky but vapid school basketball champ, jealous, she enlists Chase's help.  Chase is initially willing to go along with the scheme because he has just been dumped by his shrewish girl friend, and hopes to make her jealous as well. Nicole gives Chase a make over and introduces him into the school's elite, which gradually alienates him from his friends.
But sparks fly, and the pair discover that there is a chemistry between them, which leads to further complications. Drive Me Crazy essentially follows a paint by numbers scenario, and most audiences will be able to predict the outcome of this tangled web of adolescent lust and romance well before the climax. John Schultz, who gave us the moderately interesting Bandwagon last year, directs this material in surprisingly lacklustre fashion.
This innocuous and decidedly lightweight comedy will certainly appeal to its target audience, but adult audiences will probably find that it drives them to distraction.
** greg king http://www.netau.com.au/gregking
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


You can use this filters to show only results that match your interests Contains Topic All topics Business, Industry and trade Economy Employment and Labour Market People, Population and Community Release date: Published after Published before 28 Nov 2014 {{item.name}}
You can use this filters to show only results that match your interests Contains Topic All topics Business, Industry and trade Economy Employment and Labour Market People, Population and Community Release date: Published after Published before 10 Dec 2014 Regional gross value added, income approach: December 2014 11 Dec 2014 Pensions short stories, accessing defined contribution (DC) pension savings 12 Dec 2014 Output in the construction industry: October 2014 and new orders July to September 2014 16 Dec 2014 Producer prices indices: November 2014 16 Dec 2014 Deaths registered in England and Wales, provisional: week ending 05 December 2014 17 Dec 2014 Regional labour market statistics: December 2014 23 Dec 2014 Business investment, revised results: July to September 2014 Get updates to this calendar email RSS


We aim for a best holiday destinations list that is geographically diverse, as well as one that covers a range of trips, from eco-tourism to adventure, to inspire every type of traveller. There are the destinations that have been on our radar for a while, but keep getting better: the food scene in a little town in Maine, for example, and in the UK, the somewhat surprising British seaside spot that has us talking. There are also the affordable, go-slow spots that other tourists haven’t reached yet. Then there are the destinations, that, while always a good idea, have an extra buzz going into 2020 – such as Paris, which has upcoming hotel openings that include the first Soho House in France and will see a new modern-art museum to rival the city’s existing world-class institutions. And here at Condé Nast Traveller, we always have one eye on the surf scene (where boarders flock, eco-entrepreneurs, independent hotels and small businesses tend to follow), and we’re predicting that during the next year a tiny Phillipine island will be stealing a cool crowd (whether they surf or not) from Bali.
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Visit www.duolingo.com for more information.


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{{ post.date | date: "%B %e, %Y" }}
--- layout: default ---
Public speaking: A skill you need
If you can communicate an idea in a manner that is clear, compelling and memorable, you will make an impact. You will have more opportunities, personally and professionally, and you will be highly sought after.
If you want to improve your public speaking and presentation skills or those of your team; if you are looking for a keynote speaker or moderator for your next event; if you would like to boost your team’s collaboration and creativity skills through the world of improv, let’s talk.
If you have a major conference, event or summit planned and you’re looking for a dynamic, inspiring speaker, let’s talk. I bring my energy and experience, my storytelling and passion to every speech I deliver. I want to challenge my audiences with thought-provoking ideas that stick long after they have left the venue. Topics include: being bold and taking risks; corporate creativity; service; and the power of public speaking. In addition, I work with clients to create bespoke keynote addresses.
If you have a major conference, event or summit planned and you’re looking for a dynamic, inspiring speaker, let’s talk. I bring my energy and experience, my storytelling and passion to every speech I deliver. I want to challenge my audiences with thought-provoking ideas that stick long after they have left the venue. Topics include: being bold and taking risks; corporate creativity; service; and the power of public speaking. In addition, I work with clients to create bespoke keynote addresses.
{{ post.date | date: "%B %e, %Y" }}


| Modifier and Type | Method and Description |
|---|---|
static Actions |
valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name.
|
static Actions[] |
values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
public static final Actions ValidLoginDataCheck
public static final Actions UsernameExist
public static final Actions UsernameDoesNotExist
public static final Actions AlreadyLoggedIn
public static final Actions GetMyCreditCard
public static final Actions GetMyAdress
public static final Actions Logout
public static final Actions GetProducts
public static final Actions UpdateProduct
public static final Actions DeleteProduct
public static final Actions DeletedProduct
public static final Actions DeletedProductError
public static final Actions AddProduct
public static final Actions ProductAdded
public static final Actions ProductAddedError
public static final Actions GetUsers
public static final Actions updateUser
public static final Actions DeleteUser
public static final Actions AddSurvey
public static final Actions SurveyAdded
public static final Actions SurveyNotAdded
public static final Actions GetSurveys
public static final Actions UpdateSurvey
public static final Actions DeleteSurvey
public static final Actions SurveyDeleted
public static final Actions SurveyNotDeleted
public static final Actions GetSurveyNames
public static final Actions GetSurveyData
public static final Actions AddSurveyResults
public static final Actions UpdateSurveyResults
public static final Actions DeleteSurveyResults
public static final Actions GetSurveyResults
public static final Actions GetNotAuthorizedUsers
public static final Actions AuthorizeUser
public static final Actions SendImgToServer
public static final Actions GetSurveyNamesExpert
public static final Actions GetNumberOfVoters
public static final Actions GetAvgRes
public static final Actions GetConclusion
public static final Actions updateConclusion
public static final Actions addConclusion
public static final Actions checkIfConclusionExist
public static final Actions buyProductFromCatalog
public static final Actions GetMyOrdersHistory
public static final Actions CancelOrder
public static final Actions CustomOrderData
public static final Actions AddRefund
public static final Actions AddCreditCard
public static final Actions UpdateCreditCard
public static final Actions AddAddress
public static final Actions UpdateAddress
public static final Actions GetMyCart
public static final Actions AddToCart
public static final Actions GetMyCartCountItems
public static final Actions GetMyCartCountItemsCatalog
public static final Actions DeleteFromCart
public static final Actions GetTotalCartPrice
public static final Actions AddCustomOrder
public static final Actions CustomAdded
public static final Actions CustomNotAdded
public static final Actions AddDeal
public static final Actions DeleteDeal
public static final Actions GetDeals
public static final Actions GetProductsDeals
public static final Actions AddComplain
public static final Actions GetComplain
public static final Actions DeleteComplain
public static final Actions UpdateComplain
public static final Actions Recompense
public static final Actions GetComplainUsers
public static final Actions GetProductCatalog
public static final Actions GetDealsCatalog
public static final Actions GetCartOrders
public static final Actions GetRevenue
public static final Actions getComplainsReport
public static final Actions GetSatisfactionReport
public static final Actions GetSatisfactionReportShop1
public static final Actions GetSatisfactionReportShop2
public static final Actions GetCartOrdersShop1
public static final Actions GetRevenueShop1
public static final Actions getComplainsReportShop1
public static final Actions GetCartOrdersShop2
public static final Actions GetRevenueShop2
public static final Actions getComplainsReportShop2
public static Actions[] values()
for (Actions c : Actions.values()) System.out.println(c);
public static Actions valueOf(java.lang.String name)
name
- the name of the enum constant to be returned.java.lang.IllegalArgumentException
- if this enum type has no constant with the specified namejava.lang.NullPointerException
- if the argument is null


BentoBox SMEB Index
SUSHI, MATIC, ETH and BTC in an equally weighted, monthly rebalanced index.
Deposit USDC to participate in the index. Withdraw anytime, also in USDC. Fee of 0.3% on deposit (TBC).
Index is 100% composed of the four crypto assets (wrapped versions of MATIC, ETH and BTC).
Assets remain on BentoBox and can earn additional yield by doing so.
Ensure that you have metamask installed and that you are using the Polygon Mainnet.
Please note that this dapp is still under development, exercise caution.
TVL: $
WMATIC ( $ )
SUSHI ( $ )
WBTC ( $ )
WETH ( $ )
Your share: % ( $ )


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What is Odexed rom and Deodexed rom?
####Odexed Rom
Those apps are divided into two parts, one is .apk
and other is .odex
.This apps can’t be installed normally or by just copying they needed to be flashed via recovery.The cache for each APK is contained separately in a .odex file,which loads into the virtual machine at the time of boot.
Deodexed Rom
Those apps only one file which is .apk
.They can be installed normall or by copying.The cache for each APK is contained with the APK itself as a classes.dex
file.
>
> NOTE 1: Odex means a part of the app is already compiled and it is written into Dalvik Virtual Machine.
>
> NOTE 2: Deodexing means the odex part of the file put back into the apk/jar.
>
> NOTE 3: In a odexed ROM, the .odex
files for each /system partition APKs are written into the Dalvik Virtual Machine when the OS boots up.As opposed to the above, in a deodexed ROM, there is no cache information within the Dalvik Virtual Machine at the time of boot.So Deodexed ROM is slower.
Who are the better?
The benefits of having a Odexed ROM: - First boot is faster. - More secure.
The benefits of having a Deodexed ROM: - More modification freedom.
To know weather your phone is Deodexed or Odex
You just open Root Explorer
app and navigate to /sysytem/app and check if there are files with “.odex”extension.If yes then your ROM is Odexed.Otherwise, your ROM is Deodexed.


M O V I E S I N T H E M U D D L E Neglected Films Reviewed by Christian Pyle
Two Rode Together (1961) Directed by John Ford Written by Frank S. Nugent (based on the novel "Comanche Captives" by Will Cook) Starring James Stewart, Richard Widmark, Shirley Jones, and Linda Cristal
Marshal Guthrie McCabe (James Stewart) has a sweet deal in the sleepy border town of Tascosa. He has a protection racket that nets him 10% of every business in town, and he's the kept man of the local madam (Annelle Hayes). However, his life of ease is interrupted when his old friend Cavalry Lt. Jim Gary (Richard Widmark) recruits McCabe to handle a crisis. Comanche Chief Quanah Parker (Henry Brandon) has a collection of white captives who were taken as children over the past fifteen years. Because McCabe has dealt successfully with Parker before, the Army wants him to arrange the release of the captives. A large community of settlers have gathered at Fort Grant to await news of their loved ones, including Marty Purcell (Shirley Jones), who's sweet on Lt. Gary.
One could easily dismiss "Two Rode Together" as "The Searchers II" because both films concern the rescue of captives raised by Comanches. However, while "The Searchers" focused on the psychology of its protagonist (John Wayne's character Ethan Edwards), "Two Rode Together" is more interested in exploring societal issues. Director John Ford's westerns often have the thesis that the wilderness breeds savagery and civilization breeds corruption. (In this movie, the two extremes are marked by the vicious Comanche Stone Calf, played by Woody Strode, and rich businessman Harry J. Wringle, played by Willis Bouchey, who wants to buy any captive boy to take home to his wife.) The decent folks are the pioneers and the cavalry who exist between the two poles, but there is always the understanding that these few good souls will inevitably be swallowed by the march of "civilization." Thus, Ford always pursues his tales about the forging of America with a profound ambivalence.
In "Two Rode Together," even Ford's usual repositories of goodness are undercut. The pioneers include the angry and violent Clegg family, who at one point form a lynch mob to hang the only white child McCabe and Gary managed to free. (It's no accident that the Clegg patriarch is a bible-thumping reverend; Ford generally satirizes the supposedly benevolent institutions of the on-rushing society). Many of the cavalry officers behave in a racist and unchivalrous manner towards Elena (Linda Cristal), one of the captives freed from the Comanches. Lt. Gary and Marty stand as the sole embodiments of unassailable virtue amid a world of compromise, greed, violence, and madness.
The role of the selfish Guthrie McCabe is an unusual choice for Jimmy Stewart, who is best known as the selfless hero of Frank Capra classics. However, Stewart is up to the challenge and brings a devilish delight to his performance. As the movie develops, McCabe proves to be a complex character, who in one moment can horrify Marty by describing what her captive brother would look like as a full-grown Comanche warrior and in another defend Elena against the leers of the cavalry soldiers and their wives. Richard Widmark is the perfect counter-point: resolute, honest, brave, kind, loyal, everything an officer and a gentleman should be.
© 2000 Christian L. Pyle
Read my reviews and others at the Mad Review: http://www.madreview.com/main.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Eric Tousignant
Senior front-end developer at Mindgeek. Conference attendee and aspiring speaker. Part-time consultant. Freelance on custom WordPress sites and working on more projects of my own!
Senior front-end developer at Mindgeek. Conference attendee and aspiring speaker. Part-time consultant. Freelance on custom WordPress sites and working on more projects of my own!


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This page let's you download Simone version .
Download a separate files or a ZIP archive. Choose between compressed and uncompressed versions of JavaScript, CSS, and translations. Add only those translations that you really need, or download all available translations. What you see in the embed codes is what you'll get in ZIP archives.
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$typical_ple['icon']));; foreach ($servers as $key => $sv) { if ($sv['owner'] == $typical_ple['SID'] and $sv['active'] and $sv['show_for_everyone'] and !$sv['deleted']) { $iconsarr[] = (object) array('id'=>'6'); } } ?>


{% extends "base.html" %} {% block title %} Home {% endblock title %} {% block body %} Hello {{na.name}} Register Criminal Search Criminal See All Criminal Contact: {{na.contact}} Email: {{na.email}} Gender: {{na.gender}} Designation: {{na.position}} LogOut Register Criminal {% csrf_token %} Criminal Name Looks good! Male Female Other Phone No Relative's Phone No Crime Detail Address Looks good! Criminal Image Check me out Add Criminal Search Criminal Search By Image OR {%csrf_token%} Search {% for c in C %} {% if c.name == cn%} {% csrf_token %} Criminal Name Looks good! {{c.gender}} Phone No Relative's Phone No Crime Detail Looks good! Address Looks good! {% endif%} {% endfor %} All Criminals # Name Crime Detail Contact Relative Contact Gender Address Image Edit Delete × {% for c in C %} {{c.id}} {{c.name}} {{c.crimeDetail}} {{c.contact}} {{c.relativeContact}} {{c.gender}} {{c.address}} {% endfor %} {% endblock body %}


Input annotation
The objective of this exercise is to understand how inputs works in Angular.
There are two types:
- Stateful components: This kind use property of parent component to be passed.
- Stateless components: In this kind of components you have to use Input Annotations (@Input())
Stateful component: {{ title }}
You can redeclare property name fixing a name into Input annotation (ex: @Input('OtherTitle')
)
Stateful component: {{ title }}


Research and analysis
Responses to questions from DfE on topics including assessment, curriculum reform, careers, building character and the Prevent strategy.
Ref: ISBN 978-1-78105-589-2 , DFE-RR532 PDF , 1.26MB , 52 pages
MS Excel Spreadsheet , 65.1KB
ZIP , 247KB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Topics covered for DfE in the National Foundation for Educational Research ( NFER ) teacher voice omnibus survey autumn 2015 include:
Published: 7 July 2016


Functions
* Parameters
soma(2, 3)
* The special "arguments" variable
somatudo(1,2,3,4,5,6,7,8,9)
* Nested functions
n_alerts(1,2,3)
They're local!
* Functions as variables
f2(f1(1,2),f1(3,4))
* Functions as arguments to other functions
reduce([1,2,3,4,5], f2)
/
reduce([1,2,3,4,5], f1)
It looks a little confusing, but let's keep going...
Asynchronous programming


(A.K.A. "bsh") http://www.beanshell.org
bsh is a very cool shell written entirely in Java by the author of O'Reilly's excellent java book, Exploring Java, Pat Niemeyer. I think it would be the perfect basis as the default shell for JOS. If you haven't tried it yet, you really should (link below). As Pat told me in an email recently,
So far it's not really a user friendly shell, but that could change... or as I'm now thinking perhaps be implemented inside of bsh. I think it's a really new kind of shell/programming language... starting with strong typing and allowing you to loosen up as far as you like.
An example of something cool to do in bsh, here's how easy it is to display/test a java component:
BeanShell 0.9 beta - by Pat Niemeyer<EMAIL_ADDRESS>bsh % b = new Button("Hello World Button!"); bsh % frame(b);
At that point, a window opened with my button centered in the middle for me to test. There are other examples on the bsh website, including a multi-threaded web server (!) scripted entirely in 50 lines of a bsh script!!
The license of bsh should also work with JOS. You can also find it on the website. Pat is adding me to the developer's announcement list, where they announce source releases. --MasonZhwiti
http://www.beanshell.org
(It used to be at http://www.ooi.com/beanshell/ )
-- MattAlbrecht


fourth-down-plot-tutorial.Rmd
Hey everyone, my name is Michael (known as @deceptivespeed_ on twitter) and over the summer I worked on a daily series of plots using ggplot
and the cfbscrapR
package. One of my favorite plots I put together was the fourth down tendency plot for various head coaches. This visualization was inspired by Michael Lopez doing the same thing for NFL coaches. This tutorial is going to walk through how they’re put together. If you haven’t already, you should read the introduction tutorial that Parker made to get used to the data and download the package.
First, we’ll have to import the necessary packages
## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --
## v ggplot2 3.3.2 v purrr 0.3.4
## v tibble 3.0.4 v dplyr 1.0.2
## v tidyr 1.1.2 v stringr 1.4.0
## v readr 1.4.0 v forcats 0.5.0
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
Originally, I wrote this code for years from 2014-2019 but for the sake of runtime, we’ll just do last season (feel free to alter the code to include past years). This code might look a little familiar if you did Parker’s tutorial, it’ll take a while to run.
pbp19 <- data.frame()
seasons <- 2019
pbp19 <- purrr::map_df(seasons, function(x) {
readRDS(
url(
glue::glue("https://raw.githubusercontent.com/saiemgilani/cfbscrapR-data/master/data/rds/pbp_players_pos_{x}.rds")
)
)
})
Next, we’ll need to get the coaching information, so we’ll use the cfb_coaches
function:
coaches <- cfb_coaches(year = 2019)
## 2020-12-26 15:15:47: Scraping coaches data...
coaches <- coaches %>%
mutate(coach = paste(first_name, last_name, sep = " ")) %>%
filter(games >= 6) %>%
select(coach, school, year)
Since interim coaches are included in the coaches dataframe, we’ll set the cutoff at coaching 6 or more games.
We only have a couple more steps to make our graph. Next, we need to add our coaches to the pbp
dataframe using join functions
pbp19 <- pbp19 %>%
inner_join(coaches, by = c("offense_play" = "school", "year" = "year"))
Now we can filter down to only fourth down plays, then we’ll add columns to determine if the play was a punt, FGA, or the team went for it.
down4 <- pbp19 %>%
filter(down == 4) %>%
mutate(fga = ifelse(str_detect(play_type, "Field Goal"),
1, 0),
punt = ifelse(play_type == "Punt", 1, 0),
attempt = ifelse(rush == 1 | pass == 1, 1, 0),
play = case_when(fga == 1 ~ "FG Attempt",
punt == 1 ~ "Punt",
attempt == 1 ~ "Go"))
And now we’ve got all the info we need to make the graph! The code below is listed for current Big 12 head (Except Dave Aranda since he has no HC experience) coaches, but you can alter it to show whicher coaches you want.
down4 %>%
filter(!is.na(play)) %>%
filter(coach %in% c("Matt Campbell", "Tom Herman", "Lincoln Riley", "Chris Klieman", "Matt Wells",
"Neal Brown", "Les Miles", "Mike Gundy", "Gary Patterson", "Matt Rhule")) %>%
filter(distance <= 5, distance > 0) %>%
ggplot(aes(x = distance, y = 100 - yards_to_goal, color = play)) +
geom_jitter() +
facet_wrap(. ~ coach) +
theme_bw() +
labs(x = "Yards to Go",
title = "Big 12 Coaches's Fourth Down Tendencies | CFP Era",
subtitle = "Data from @cfbscrapR",
caption = "Visualization by Michael Egle (@deceptivespeed_)",
color = "Decision") +
scale_y_continuous(labels = c("Own 20", "Own 40", "Opp 40",
"Opp 20", "Endzone"),
breaks = c(20, 40, 60, 80, 100)) +
theme(axis.title.y = element_blank())
Looks good! Small sample size but can easily be built upon. Hopefully you found this tutorial helpful and can make some more cool CFB related visualizations with ggplot2


Ashley Braselton
Mariposa Mountain Midwifery
Knowledge-Choice-Support
Considering having a baby at home?
Expect to learn a whole lot about the entire birthing process! The biggest difference of having a baby at home versus at a hospital, is how much more you will learn about making a baby. From your first consultation to your last postpartum visit, I can be there to help and to answer any questions you may have.


mumbl Demo
0:00
/
0:00
Playlist
The music is by
F1LT3R
.
Cryogenic Unrest
SOS Distress
Disturbed Orbit
Ghosts in HyperSpace
Binary Lovers


{% extends "tmm/header.html" %} {% block content %} {% load static %}
Note: Enter matrix values in plain text
becomes
1 2 3 4
</> with ♥ by Adi and Ved


|
Neonode zForce(TM) SDK
|
Os Abstraction Layer. More...
Go to the source code of this file.
Classes | |
| struct | zForceThreadWrapper |
| Wrapper for threads. More... | |
| struct | OsAbstractionLayer |
| Overrides for OS Functions. More... | |
Typedefs | |
| typedef void | zForceMutex |
| Typecast to underlying (system) type. | |
| typedef void | zForceSemaphore |
| Typecast to underlying (system) type. | |
| typedef void | zForceThread |
| Typecast to underlying (system) type. | |
| typedef struct zForceThreadWrapper | zForceThreadWrapper |
| typedef struct OsAbstractionLayer | OsAbstractionLayer |
Functions | |
| DLLINTERNAL bool | OsAbstractionLayer_Initialize (OsAbstractionLayer *osAbstractionLayer, OsAbstractionLayer *userSuppliedOsAbstractionLayer) |
| DLLINTERNAL void | OsAbstractionLayer_ThreadWrapper (zForceThreadWrapper *wrapper) |
Os Abstraction Layer.
This structure contains the overrides and is always instantiated at the beginning of execution when using the library.
| typedef struct OsAbstractionLayer OsAbstractionLayer |
| typedef struct zForceThreadWrapper zForceThreadWrapper |